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Rethinking Theory of Mind Benchmarks for LLMs: Towards A User-Centered Perspective

Published: April 15, 2025 | arXiv ID: 2504.10839v1

By: Qiaosi Wang , Xuhui Zhou , Maarten Sap and more

Potential Business Impact:

Helps computers understand what people are thinking.

Business Areas:
Human Computer Interaction Design, Science and Engineering

The last couple of years have witnessed emerging research that appropriates Theory-of-Mind (ToM) tasks designed for humans to benchmark LLM's ToM capabilities as an indication of LLM's social intelligence. However, this approach has a number of limitations. Drawing on existing psychology and AI literature, we summarize the theoretical, methodological, and evaluation limitations by pointing out that certain issues are inherently present in the original ToM tasks used to evaluate human's ToM, which continues to persist and exacerbated when appropriated to benchmark LLM's ToM. Taking a human-computer interaction (HCI) perspective, these limitations prompt us to rethink the definition and criteria of ToM in ToM benchmarks in a more dynamic, interactional approach that accounts for user preferences, needs, and experiences with LLMs in such evaluations. We conclude by outlining potential opportunities and challenges towards this direction.

Country of Origin
🇺🇸 United States

Page Count
7 pages

Category
Computer Science:
Human-Computer Interaction